AI Detection Gets Its Due: Pangram's Mission to Rebuild Trust Online

Trust has become a scarce commodity on the internet. Machine-generated text and visuals are increasingly infiltrating professional documents, customer reviews, job submissions, and financial claims—forcing both platforms and individual users to grapple with distinguishing authentic from fabricated material.

Over the past few years, a wave of startups has emerged to fill this verification gap—companies positioned as essential middlemen in an era of synthetic media. Pangram stands among them, having recently secured $9 million in funding to power its detection infrastructure and establish itself as a credible arbiter of content authenticity.

Pangram's Growing Footprint#

The startup has already begun making significant inroads. Substack recently adopted Pangram's technology to flag newsletter creators who rely on AI composition, giving readers transparency about their favorite authors' writing practices. In tandem, Pangram rolled out a fresh tool aimed at identifying synthetic imagery—expanding its detection arsenal beyond text.

The Real Challenge Ahead#

Distinguishing between AI-generated and human-authored content proves far more nuanced than a simple binary choice. Pangram co-founder and CEO Max Spero joined TechCrunch's Equity podcast to unpack the technical and philosophical hurdles that detection vendors face—particularly the murky boundary between content assisted by AI and content wholly produced by AI.

You can tune in on YouTube, Apple Podcasts, Overcast, Spotify, or follow updates via X and Threads at @EquityPod.